Cloud Architect: Data Analytics

Cloud Architect: Data Analytics & GenAI, AWS Professional Services

AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

• Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock.
• Solutions: Deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings.
• Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements may include migration and modernisation of existing data applications and development of new data applications using AWS cloud services.
• Push the envelope: Artificial Intelligence is reducing the historical "IT constraint" on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data Analytics and GenAI Services.
• In this role, you will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. You'll be capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
• Use ML and Generative AI tools, such as Amazon SageMaker and Amazon Bedrock to provide a scalable cloud environment for our customers to label data, build, train, tune and deploy their models.

• 5+ years of IT implementation experience
• Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
• Experience and technical expertise (design and implementation) in cloud computing technologies
• Experience Implementing AWS and/or third-party Data Analytics aligned services. (e.g. Amazon Redshift, AWS Glue and AWS LakeFormation, dbt, spark and python). Experience coding in Python, R, Matlab, Java or other modern programming language

• Ability to think strategically about business, product, and technical challenges in an enterprise environment
• Hands on experience leading large-scale global data analytics projects aligned with business use cases
• Experience in Data Quality management: Processes to measure and manage data quality, enforce data controls, and provide data assurance
• Implementing AWS services in a variety of distributed computing, enterprise environments
• Customer facing skills to represent AWS well within the customer's environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation

In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.